Zobrazeno 1 - 10
of 10 612
pro vyhledávání: '"A. A. BALOGUN"'
Autor:
Krayev, Andrey, Isotta, Eleonora, Hoang, Lauren, Yang, Jerry A., Neilson, Kathryn, Wang, Minyuan, Haughn, Noah, Pop, Eric, Mannix, Andrew, Balogun, Oluwaseyi, Wang, Chih-Feng
We present a systematic study of the dependence of gap mode tip-enhanced Raman scattering (TERS) of mono- and bi-layer WS$_2$ and MoS$_2$ as a function of excitation laser energy. We collected consecutive TERS maps of mono-and bi-layer regions with 6
Externí odkaz:
http://arxiv.org/abs/2407.13932
Autor:
Mamman, Hussaini, Basri, Shuib, Balogun, Abdullateef, Imam, Abubakar Abdullahi, Kumar, Ganesh, Capretz, Luiz Fernando
Publikováno v:
13th Computer Science On-line Conference, Lecture Notes on Networks and Systems, Springer, 13 pages, April 2024
The widespread adoption of ML systems across critical domains like hiring, finance, and healthcare raises growing concerns about their potential for discriminatory decision-making based on protected attributes. While efforts to ensure fairness during
Externí odkaz:
http://arxiv.org/abs/2406.17906
Autor:
Bashir, Aminat, Balogun, Abdullateef, Adigun, Matthew, Ajagbe, Sunday, Capretz, Luiz Fernando, Awotunde, Joseph, Mojeed, Hammed
Publikováno v:
13th Computer Science On-line Conference, Lecture Notes on Networks and Systems, Springer, 18 pages, April 2024
The process of software defect prediction (SDP) involves predicting which software system modules or components pose the highest risk of being defective. The projections and discernments derived from SDP can then assist the software development team
Externí odkaz:
http://arxiv.org/abs/2406.17120
Air pollution is a common and serious problem nowadays and it cannot be ignored as it has harmful impacts on human health. To address this issue proactively, people should be aware of their surroundings, which means the environment where they survive
Externí odkaz:
http://arxiv.org/abs/2404.08702
In an era where the Internet of Things (IoT) intersects increasingly with generative Artificial Intelligence (AI), this article scrutinizes the emergent security risks inherent in this integration. We explore how generative AI drives innovation in Io
Externí odkaz:
http://arxiv.org/abs/2404.00139
Publikováno v:
Harvard Business Review. Sep/Oct2024, Vol. 102 Issue 5, p156-161. 6p. 4 Cartoon or Caricatures.
Autor:
Kumar, Ganesh, Basri, Shuib, Imam, Abdullahi Abubakar, Balogun, Abdullateef Oluwaqbemiga, Mamman, Hussaini, Capretz, Luiz Fernando
Publikováno v:
International Journal of Advanced Science and Applications, Volume 14, Issue 10, pp. 754-763, 2023
With the advent of technology and use of latest devices, they produces voluminous data. Out of it, 80% of the data are unstructured and remaining 20% are structured and semi-structured. The produced data are in heterogeneous format and without follow
Externí odkaz:
http://arxiv.org/abs/2311.06183
Autor:
Mamman, Hussaini, Basri, Shuib, Balogun, Abdullateef Oluwaqbemiga, Imam, Abdullahi Abubakar, Kumar, Ganesh, Capretz, Luiz Fernando
Publikováno v:
IEEE International Conference on Computing (ICOCO 2023), Langkawi Island, Malaysia, pp. 89-94, October 2023
Artificial Intelligence (AI) has demonstrated remarkable capabilities in domains such as recruitment, finance, healthcare, and the judiciary. However, biases in AI systems raise ethical and societal concerns, emphasizing the need for effective fairne
Externí odkaz:
http://arxiv.org/abs/2311.06175
Autor:
Pankaj Kumar, Laxmi Prasad Sapkota, Vijay Kumar, Yusra A. Tashkandy, M.E. Bakr, Oluwafemi Samson Balogun, Ahmed M. Gemeay
Publikováno v:
Alexandria Engineering Journal, Vol 106, Iss , Pp 664-674 (2024)
This work investigates a new class of statistical models and presents a specific example from this class. We created a new family of distributions using trigonometric functions, known as the cosine pie-power odd-G family. The paper details the fundam
Externí odkaz:
https://doaj.org/article/cbe2ad2def154bfd9efb499398a07245
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 29346-29369 (2024)
Based on joint progressive Type-II censored data, we examined the statistical inference of the generalized logistic distribution with different shape and scale parameters in this research. Wherever possible, we explored maximum likelihood estimators
Externí odkaz:
https://doaj.org/article/42a4afd5f60944839d759dae6d409659